Cite
Flight Trainee Performance Evaluation Using Gradient Boosting Decision Tree, Particle Swarm Optimization, and Convolutional Neural Network (GBDT-PSO-CNN) in Simulated Flights.
MLA
Shang, Lei, et al. “Flight Trainee Performance Evaluation Using Gradient Boosting Decision Tree, Particle Swarm Optimization, and Convolutional Neural Network (GBDT-PSO-CNN) in Simulated Flights.” Aerospace (MDPI Publishing), vol. 11, no. 5, May 2024, p. 343. EBSCOhost, https://doi.org/10.3390/aerospace11050343.
APA
Shang, L., Wang, H., Si, H., Wang, Y., Pan, T., Liu, H., & Li, Y. (2024). Flight Trainee Performance Evaluation Using Gradient Boosting Decision Tree, Particle Swarm Optimization, and Convolutional Neural Network (GBDT-PSO-CNN) in Simulated Flights. Aerospace (MDPI Publishing), 11(5), 343. https://doi.org/10.3390/aerospace11050343
Chicago
Shang, Lei, Haibo Wang, Haiqing Si, Yonghu Wang, Ting Pan, Haibo Liu, and Yixuan Li. 2024. “Flight Trainee Performance Evaluation Using Gradient Boosting Decision Tree, Particle Swarm Optimization, and Convolutional Neural Network (GBDT-PSO-CNN) in Simulated Flights.” Aerospace (MDPI Publishing) 11 (5): 343. doi:10.3390/aerospace11050343.